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Showing results 1 to 9 of 9

Publication Date2024-01 Added value of dynamic contrast-enhanced MR imaging in deep learning-based prediction of local recurrence in grade 4 adult-type diffuse gliomas patients
Yoon, Jungbin; Baek, Nayeon; Yoo, Roh-Eul, et al
Scientific Reports, v.14, no.1
Publication Date2013-08 Cerebral Blood Volume Analysis in Glioblastomas Using Dynamic Susceptibility Contrast-Enhanced Perfusion MRI: A Comparison of Manual and Semiautomatic Segmentation Methods
Inseon Ryoo; Seung Hong Choi; Ji-Hoon Kim, et al
PLOS ONE, v.8, no.8, pp.e-69323
Publication Date2013-08 Cerebral Blood Volume Calculated by Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging: Preliminary Correlation Study with Glioblastoma Genetic Profiles
Inseon Ryoo; Choi, Seung Hong; Kim, Ji-Hoon, et al
PLOS ONE, v.8, no.8, pp.e-71704
Publication Date2023-08 Deep learning based on dynamic susceptibility contrast MR imaging for prediction of local progression in adult-type diffuse glioma (grade 4)
Heo, Donggeon; Lee, Jisoo; Yoo, Roh-Eul, et al
Scientific Reports, v.13, no.1
Publication Date2013-12 Differentiation of True Progression from Pseudoprogression in Glioblastoma Treated with Radiation Therapy and Concomitant Temozolomide: Comparison Study of Standard and High-b-Value Diffusion-weighted Imaging
Chu, Hee Ho; Seung Hong Choi; Ryoo, Inseon, et al
RADIOLOGY, v.269, no.3, pp.831 - 840
Publication Date2013-05 Early response evaluation for recurrent high grade gliomas treated with bevacizumab: a volumetric analysis using diffusion-weighted imaging
Hwang, Eui Jin; Cha, Yongjun; Lee, A. Leum, et al
JOURNAL OF NEURO-ONCOLOGY, v.112, no.3, pp.427 - 435
Publication Date2021-07-09 Multiparametric magnetic resonance imaging features of a canine glioblastoma model
Lee, Seunghyun; Seung Hong Choi; Cho, Hye Rim, et al
PLOS ONE, v.16, no.7
Publication Date2021-09 Prediction of prognosis in glioblastoma using radiomics features of dynamic contrast-enhanced mri
Pak, Elena; Choi, Kyu Sung; Seung Hong Choi, et al
Korean Journal of Radiology, v.22, no.9, pp.1514 - 1524
Publication Date2021-05-11 Radiomics-based neural network predicts recurrence patterns in glioblastoma using dynamic susceptibility contrast-enhanced MRI
Shim, Ka Young; Chung, Sung Won; Jeong, Jae Hak, et al
SCIENTIFIC REPORTS, v.11, no.1

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